flagos-ai

flagos-ai/skills

Plugin Claude Code

Plugin marketplace listing 1 plugin: flagos-skills.

flagos-ai/skills

Plugin Claude Code

Agent skills for the FlagOS multi-chip AI inference platform. Includes kernel generation and optimization, model migration, environment verification, vendor onboarding, and more.

flagos-ai/skills

Instructions file

Instructions for flagos-ai/skills, covering claude.md, repository overview, repository structure, skill structure and creating a new skill.

flagos-ai/skills

Agent

Copyright 2026 FlagOS Contributors.

flagos-ai/skills

Skill Claude CodeCodex

This skill should be used when reviewing FlagGems operator PRs, performing code review, self-reviewing before submission, or when the user mentions "review PR", "审PR", "代码review", "code review", "review #123", "self-review", "自审", "检查PR", "审查算子", "review operator". It fetches PR diffs, applies FlagGems domain-specific…

flagos-ai/skills

Skill Claude CodeCodex

This skill should be used when submitting FlagGems operator PRs, reviewing operator code before submission, preparing operator code for PR, or when the user mentions "提PR", "提交算子", "submit operator", "PR提交", "代码审核", "pre-commit". It automates code review, validates completeness and compliance, runs pre-commit and…

flagos-ai/skills

Skill Claude CodeCodex

Full FlagRelease pipeline orchestrator. Runs the complete LLM deployment, verification, and benchmarking pipeline for multi-chip GPU backends. Executes: install-stack → env-verify → model-verify → perf-test in sequence, passing state between steps and producing a final structured report. Assumes gpu-container-setup…

flagos-ai/skills

Skill Claude CodeCodex

Automatically detect GPU vendor, find appropriate PyTorch container image, launch with correct mounts, and validate GPU functionality. Supports NVIDIA, Ascend, Metax, Iluvatar, and AMD/ROCm. Use when user says "setup container", "start pytorch container", or invokes /gpu-container-setup.

flagos-ai/skills

Skill Claude CodeCodex

Install the 5-package multi-chip software stack (vLLM, FlagTree, FlagGems, FlagCX, vllm-plugin-FL) inside a GPU container. Handles network mirror detection, dependency ordering, wheel selection, and per-package validation. Use after gpu-container-setup has produced a running container with PyTorch + GPU access.

flagos-ai/skills

Skill Claude CodeCodex

Unified GPU kernel operator generation and optimization skill. Automatically detects the target repository type (FlagGems, vLLM, or general Python/Triton) and dispatches to the appropriate specialized sub-skill. Includes operator generation, MCP-based iterative optimization, and feedback submission sub-skills. Use…

flagos-ai/skills

Skill Claude CodeCodex

Migrate a model from the latest vLLM upstream repository into the vllm-plugin-FL project (pinned at vLLM v0.13.0). Use this skill whenever someone wants to add support for a new model to vllm-plugin-FL, port model code from upstream vLLM, or backport a newly released model. Trigger when the user says things like…

flagos-ai/skills

Skill Claude CodeCodex

Verify the serving stack with a user-specified target model. Runs twice: first with FlagGems/FlagCX disabled (isolate model-specific errors), then with full multi-chip stack enabled. Diffs the two runs to pinpoint which layer caused any failure.

flagos-ai/skills

Skill Claude CodeCodex

Run accuracy benchmarks (FlagEval, when available) and performance benchmarks (vllm bench serve) against a served model. Covers 5 workload profiles: short/long prefill x short/long decode + high concurrency. Collects throughput, latency, TTFT, TPOT metrics.

flagos-ai/skills

Skill Claude CodeCodex

Create new skills, modify existing skills, and validate skill quality for the FlagOS skills repository. Use this skill whenever someone wants to create a skill from scratch, improve or edit an existing skill, scaffold a new skill directory, validate skill structure, or run test cases against a skill. Trigger when the…

flagos-ai/skills

Skill Claude CodeCodex

Self-contained orchestration skill for writing high-performance TLE kernels and shipping TLE feature changes with reproducible validation. Use when the user wants to write/optimize TLE kernels, implement TLE API/verifier/lowering features, or debug TLE correctness/performance issues. Trigger on phrases like "write a…

flagos-ai/skills

Skill Claude CodeCodex

Install and configure vLLM-Plugin-FL for multiple hardware backends including NVIDIA, Ascend and etc. Use when setting up vllm-plugin-fl, configuring the environment for specific hardware backend, installing dependencies, checking whether dependencies are installed successfully, resolving runtime issues, and launching…

flagos-ai/skills

Skill Claude CodeCodex

Replace with a description of the skill and when Claude should use it. This should be one or two complete sentences explaining what the skill does and what triggers it.